Software Engineer - Data Lifecycle

Reposted 9 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
Mid level
Financial Services
The Role
Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.
Summary Generated by Built In

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join QRT’s Data team as a Software Engineer, working at the intersection of engineering, trading, and research. Your focus will be on delivering scalable systems for reference data management, regulatory and external reporting, and front-office analytics. This role offers direct visibility across the business and the opportunity to collaborate with stakeholders across Execution, Engineering, and Research teams. Every project you work on will contribute to operational efficiency and trading decision-making.

Your role at QRT

This is primarily a hands-on engineering role (≈80% development), with a smaller component (≈20% support and system ownership) focused on maintaining robustness, reliability, and data quality in production.

You’ll work closely with trading, research, risk, and operations teams, gaining strong exposure to the business while building scalable, high-performance systems.

What you’ll work on

  • Designing and building scalable, high-performance systems for trade and position lifecycle management
  • Developing solutions to automate lifecycle events such as corporate actions, expiries, and cash flows across asset classes
  • Building and maintaining high-quality reference data platforms used across trading and research
  • Delivering real-time and end-of-day reporting pipelines for internal and external stakeholders
  • Ensuring data accuracy, integrity, and consistency across systems and workflows
  • Contributing to system validation, controls, and operational robustness, including alignment with brokers and fund administrators
  • Collaborating closely with stakeholders to translate business needs into reliable technical solutions
  • Writing well-tested, maintainable code and contributing to CI/CD and deployment pipelines
  • Supporting production systems and continuously improving reliability, monitoring, and performance

What we’re looking for

  • 5–10 years of software engineering experience, ideally in a high-performance or data-intensive environment
  • Strong programming skills in Python (experience with C# is a plus)
  • Solid understanding of software design, architecture, and scalable systems
  • Experience working with SQL and relational databases
  • Familiarity with testing frameworks and CI/CD practices

Domain experience (one or more is valuable, not required). We’re interested in engineers with exposure to financial markets, particularly:

  • Trade and position lifecycle systems
  • Equities, ETFs, futures, or options
  • Corporate actions and reference data
  • Market structure and exchange-specific behaviour

Deep expertise in a single asset class is not required—but an interest in learning and working in a trading environment is important.

What will set you apart

  • Experience building systems in a quantitative trading or financial environment
  • Strong problem-solving skills with a focus on performance, scalability, and data quality
  • Ability to operate in a high-impact, fast-paced environment with evolving requirements
  • Clear communication skills and a collaborative mindset

Why join QRT?

  • Work on business-critical systems with direct impact on trading outcomes
  • Join a core engineering team with significant ownership and autonomy
  • Collaborate with traders, researchers, and engineers in a highly technical environment
  • Tackle complex data and systems challenges at scale

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Skills Required

  • Expert-level Python development experience with strong system design and architecture understanding
  • Proven experience working with C# in a production environment
  • Familiarity with relational databases and SQL
  • Understanding of testing strategies as part of CI/CD workflows
  • Excellent communication skills and ability to work collaboratively across teams

Qube Research & Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qube Research & Technologies and has not been reviewed or approved by Qube Research & Technologies.

  • Wellbeing & Lifestyle Benefits Office amenities such as free meals, social events, and wellness-focused workspaces are highlighted in multiple locations. Cycle-to-work schemes and onsite classes in Europe further enhance day-to-day quality of life.
  • Leave & Time Off Breadth Two paid volunteer days and corporate donation matching were introduced firmwide. Some locations also cite generous annual leave allowances with options to buy additional days.
  • Healthcare Strength Private medical coverage and life insurance are called out for the UK. Job listings reference health insurance in various regions, though specifics differ by office.

Qube Research & Technologies Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
774 Employees

What We Do

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We currently have multiple open positions on our website, please get in touch! Our commitments: https://www.qube-rt.com/commitments

Similar Jobs

In-Office
London, Greater London, England, GBR
774 Employees
In-Office
London, Greater London, England, GBR
774 Employees

Cloudflare Logo Cloudflare

Business Development Representative

Cloud • Information Technology • Security • Software • Cybersecurity
Hybrid
London, Greater London, England, GBR
4400 Employees

Cloudflare Logo Cloudflare

Senior Named Customer Engineer, UKI

Cloud • Information Technology • Security • Software • Cybersecurity
Hybrid
London, Greater London, England, GBR
4400 Employees

Similar Companies Hiring

Granted Thumbnail
Artificial Intelligence • Healthtech • Insurance • Mobile • Financial Services
New York, New York
23 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account